WEDM Process Parameters Analysis and Optimization: A Review

Huda Anwar, S. K. Shather, Waqass Khudhir
{"title":"WEDM Process Parameters Analysis and Optimization: A Review","authors":"Huda Anwar, S. K. Shather, Waqass Khudhir","doi":"10.56294/sctconf2024860","DOIUrl":null,"url":null,"abstract":"Wire Electrical Discharge Machining (WEDM) represents a non-conventional machining approach that harnesses thermal electrical energy for the fabrication of intricate structures. WEDM machines excel in achieving precise dimensions and a polished surface finish. It finds frequent application in the machining of robust materials that pose challenges for conventional manufacturing methods due to issues like vibrations. Within this machining method, numerous process parameters and performance indicators come into play, prompting various studies and investigations into its intricacies. This paper presents a comprehensive overview of current research trends in WEDM, particularly focusing on parameters for enhancing performance, such as surface roughness (SR), material removal rate (MRR), and Kerf width (KW). Notably, several process parameters, including pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), contribute to the WEDM process. Additionally, various optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) are employed across diverse materials, encompassing alloys, superalloys, and composites. The findings of this study suggest the importance of considering various process parameters, such as pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), in the WEDM process. Moreover, the application of optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) is recommended. These recommendations aim to improve the understanding and optimization of WEDM processes, especially when applied to diverse materials, including alloys, superalloys, and composites.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"18 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Salud, Ciencia y Tecnología - Serie de Conferencias","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56294/sctconf2024860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Wire Electrical Discharge Machining (WEDM) represents a non-conventional machining approach that harnesses thermal electrical energy for the fabrication of intricate structures. WEDM machines excel in achieving precise dimensions and a polished surface finish. It finds frequent application in the machining of robust materials that pose challenges for conventional manufacturing methods due to issues like vibrations. Within this machining method, numerous process parameters and performance indicators come into play, prompting various studies and investigations into its intricacies. This paper presents a comprehensive overview of current research trends in WEDM, particularly focusing on parameters for enhancing performance, such as surface roughness (SR), material removal rate (MRR), and Kerf width (KW). Notably, several process parameters, including pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), contribute to the WEDM process. Additionally, various optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) are employed across diverse materials, encompassing alloys, superalloys, and composites. The findings of this study suggest the importance of considering various process parameters, such as pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), in the WEDM process. Moreover, the application of optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) is recommended. These recommendations aim to improve the understanding and optimization of WEDM processes, especially when applied to diverse materials, including alloys, superalloys, and composites.
线切割机床工艺参数分析与优化:综述
线切割放电加工(WEDM)是一种非常规加工方法,它利用热电能来制造复杂的结构。WEDM 机器在实现精确尺寸和抛光表面处理方面表现出色。它经常应用于加工坚固的材料,这些材料由于振动等问题给传统制造方法带来了挑战。在这种加工方法中,许多工艺参数和性能指标都会发挥作用,从而促使人们对其复杂性进行各种研究和调查。本文全面概述了当前线切割机床的研究趋势,尤其侧重于提高性能的参数,如表面粗糙度 (SR)、材料去除率 (MRR) 和切口宽度 (KW)。值得注意的是,包括脉冲关断时间 (TOFF)、伺服电压 (SV)、脉冲开启时间 (TON)、峰值电流 (I) 和线张力 (WT) 在内的多个工艺参数对线切割加工工艺都有影响。此外,还采用了田口方法、灰色关系分析 (GRA) 和方差分析 (ANOVA) 等各种优化技术,适用于各种材料,包括合金、超合金和复合材料。研究结果表明,在线切割加工过程中考虑各种工艺参数(如脉冲关闭时间 (TOFF)、伺服电压 (SV)、脉冲开启时间 (TON)、峰值电流 (I) 和线张力 (WT) 等)非常重要。此外,还建议应用田口方法、灰色关系分析(GRA)和方差分析(ANOVA)等优化技术。这些建议旨在提高对线切割机床工艺的理解和优化,尤其是在应用于包括合金、超合金和复合材料在内的各种材料时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信